Data Scientist with Security Clearance

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Job description

Data Scientist Department: Federal Employment Type: Full Time Location: McLean, VA Reporting To: David Gentile Description ORBIS, is looking for an innovative Data Scientist possessing a TS/SCI with Poly clearance who is specialized in software development support for natural language processing (NLP) for a program comprised of data science, data engineering, and methodologists. The customer cloud computing environment includes complex datasets from multiple mission applications. Key Responsibilities The core hours for all positions not otherwise identified shall be from 0900 - 3:00 PM EDT. Weekend or after-hours support may be required for operational issues, deployments and critical activities. • Candidate shall support the design, development, coding, testing, and debugging of complex new software products and make enhancements to existing software.
• Candidate shall apply software development methodology in an Agile environment.
• Candidate shall troubleshoot support of complex problems and provides develop solutions for software systems and applications issues.
• Candidate shall collaborate cross-functionally with data scientists, data engineers, analysts, and other technical team members.
• Candidate shall provide recommendations for continuous improvement and innovation in an Agile environment. This position has no supervisory responsibilities Skills, Knowledge and Expertise A Bachelor's degree is required for this position. Minimum of 5 years' experience in a consulting role in the IC. Master's degree in business, social science, or behavioral science preferred but not required for this position. The candidate shall have the following required skills. Certifications and demonstrated experience:
• Requires an active TS/SCI w/ Poly
• Demonstrated experience developing solutions with Python.
• Demonstrated experience working with regular expressions.
• Demonstrated experience with Natural Language Processing (NLP) text processing in one or more of the following: text preprocessing and cleaning for downstream NLP tasks, information extraction, Named Entity Recognition (NER), identity matching, text normalization, automatic summarization, NLP evaluation, machine translation, machine transliteration, document exploitation pipelines, multilingual computing, ontology management, or computational lexicography.
• Demonstrated experience with Exploratory Data Analysis (EDA) using Jupyter or similar notebooks.
• Demonstrated experience developing code with Visual Studio Code or similar integrated Development Environment (IDE).
• Demonstrated experience with version control, e.g. git
• Demonstrated experience writing unit test frameworks such pytest, junit, xunit, etc. Skills and demonstrated experiences that are highly desired but not required to perform the work include: • Demonstrated experience using PySpark and/or DataBricks
• Demonstrated experience with Python package deployment
• Demonstrated experience with data labeling, with solutions such as Doccano, Label Studio, or other equivalent
• Demonstrated experience with developing solutions with SQL
• Demonstrated experience with SpaCy
• Demonstrated experience with Skweak/Snorkel
• Demonstrated experience with task management software such as Jira
• Demonstrated experience with building discriminative classifiers for text data
• Familiarity with one or more foreign languages Prolonged periods of sitting at a desk and working on a computer. Routine video conference and/or in-person meetings. Ability to attend planned meetings within the Washington Metro Area region.

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